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            Abstract In STEM (science, technology, engineering, and math) fields, people with disabilities are underrepresented. This study aimed to determine what barriers might prevent students with and without disabilities from pursuing STEM careers. Differences in students’ interest in enrolling in advanced STEM courses and having a STEM career were evaluated in a sample of 438 students with (24.9%) and without disabilities (Mage = 15.09, SD = .82) recruited from public high schools in Southeastern United States. Differences in their interest in enrolling in advanced STEM courses and having a STEM career were evaluated. Although students with disabilities report lower interest in enrolling in advanced STEM courses they have the same interest in STEM careers as students without disabilities. Moreover, students with disabilities report higher rates of discrimination and more educational barriers than students without disabilities. Schools should focus on providing specific support to students with disabilities to ensure that their educational experiences are equitable.more » « less
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            Free, publicly-accessible full text available June 1, 2026
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            ABSTRACT During adolescence, individuals make key decisions about coursework, and career paths, including paths toward careers in science, technology, engineering, and mathematics (STEM). This study identified groups of adolescents who vary in STEM career interests, feelings of support, and perceptions of barriers in STEM and explored what factors predict group membership. Using a latent class analysis with a sample of 473 9th and 10th grade students from public schools in the Southeastern United States (Mage= 15.14, 48.4% White and 43.6% female), 4 distinct classes of adolescents were identified: low STEM, supported with barriers (38.2%), high STEM with barriers (26%), high STEM without barriers (21.6%), and low STEM with high barriers (14.2%). The likelihood of membership in the high STEM without barriers class was higher for participants who reported greater STEM class belonging, growth mindset, and engagement. Efforts to promote continued STEM trajectories may focus on belonging, mindsets, and fostering STEM engagement.more » « lessFree, publicly-accessible full text available May 1, 2026
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            Abstract Racially minoritized groups are underrepresented in science, technology, engineering, and math (STEM) degree programs and careers, warranting the need to examine students' racialized experiences in K‐12 settings that may influence their STEM persistence. In particular, the current study explored adolescent perceptions of school racial climate (SRC) as a potential contributor to pre‐college racial disparities in STEM. We used latent class analysis to group adolescents based on their SRC perceptions and explored group differences in their interest in a STEM career and their belonging, psychological needs satisfaction, and engagement in STEM courses. Adolescent participants (N = 412, 50.2% female, 36.9% male, 12.9% other/not reported,Mage = 15.72 years, standard deviation = 1.24) attending five high schools in the Southeastern United States, were grouped into five classes based on their perceptions of SRC: Critical SRC (CritSRC), Average SRC, Average with Stereotyping, Positive SRC (PosSRC), and Positive with Stereotyping. Latent class membership differed by race, age, and learning environment. Results revealed that students with more positive perceptions of SRC reported greater belonging, engagement, and needs satisfaction in their STEM courses and more interest in a STEM career compared to students with CritSRC perceptions. Findings also indicated that White students were more likely than Black students to perceive a PosSRC. Recommendations for areas of future research and policy implications are discussed.more » « less
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            Saha, Goutam (Ed.)Past research has shown that growth mindset and motivational beliefs have an important role in math and science career interest in adolescence. Drawing on situated expectancy-value theory (SEVT), this study extends these findings by investigating the role of parental motivational beliefs (e.g., expectancy beliefs, utility values) and parent growth mindset in math on adolescent career interest in math-intensive fields (e.g., mathematics, computer science, statistics, and engineering; MCSE) through adolescent motivational beliefs in math. Structural equation modeling was used to test the hypothesized model using data from 290 adolescents (201 girls, 69.3%;Mage= 15.20), who participate in informal STEM (science, technology, engineering, mathematics) youth programs, and their parents (162 parents, 87.7% female) in the United Kingdom and the United States. As hypothesized, adolescent expectancy beliefs, utility values, and growth mindset in math had a significant direct effect on MCSE career interest. Further, there was a significant indirect effect of parental expectancy beliefs in math on MCSE career interest through adolescents’ expectancy beliefs. Similarly, there was a significant indirect effect from parental utility values in math to MCSE career interest through adolescents’ utility values. The findings suggest that parents’ math motivational beliefs play a critical role in adolescent math motivational beliefs and their career interest in math-intensive fields.more » « less
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            Abstract This study explores adolescents' evaluations of unfair teacher and peer behavior in science, technology, engineering, and mathematics (STEM) classes. Participants included ninth and tenth grade students from five public schools in the Southeastern United States, (N = 577, 45.9% female, 49% male, 5% other/prefer not to say/unsure). Students were ethnically representative of their communities: 48% White/European American, 22.7% Black/African American, 14% Latino/a/e/x, and 15.3% multi‐racial/other/prefer not to say. Measures assessed adolescents' responses to hypothetical scenarios of unfair treatment. The findings indicate that adolescents recognize both teacher and peer unfair behavior as wrong, with nuanced differences based on participants' gender and grade. Attribution analysis reveals varied expected reasons for unfair treatment. Responses to unfair behavior differ, with adolescents more likely to confront peers than teachers. Demographic factors, school climate, discrimination, belonging, and critical consciousness contribute to variations in judgments and responses. The study highlights the importance of addressing unfair treatment in STEM settings to foster inclusivity and support student persistence in STEM.more » « less
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